• Associations between Specific Redox Biomarkers and Age in a Large European Cohort: The MARK-AGE Project.

      Weber, Daniela; Stuetz, Wolfgang; Toussaint, Olivier; Debacq-Chainiaux, Florence; Dollé, Martijn E T; Jansen, Eugène; Gonos, Efstathios S; Franceschi, Claudio; Sikora, Ewa; Hervonen, Antti; et al. (2017)
      Oxidative stress and antioxidants play a role in age-related diseases and in the aging process. We here present data on protein carbonyls, 3-nitrotyrosine, malondialdehyde, and cellular and plasma antioxidants (glutathione, cysteine, ascorbic acid, uric acid, α-tocopherol, and lycopene) and their relation with age in the European multicenter study MARK-AGE. To avoid confounding, only data from countries which recruited subjects from all three study groups (five of eight centers) and only participants aged ≥55 years were selected resulting in data from 1559 participants. These included subjects from (1) the general population, (2) members from long-living families, and (3) their spouses. In addition, 683 middle-aged reference participants (35-54 years) served as a control. After adjustment for age, BMI, smoking status, gender, and country, there were differences in protein carbonyls, malondialdehyde, 3-nitrotyrosine, α-tocopherol, cysteine, and glutathione between the 3 study groups. Protein carbonyls and 3-nitrotyrosine as well as cysteine, uric acid, and lycopene were identified as independent biomarkers with the highest correlation with age. Interestingly, from all antioxidants measured, only lycopene was lower in all aged groups and from the oxidative stress biomarkers, only 3-nitrotyrosine was increased in the descendants from long-living families compared to the middle-aged control group. We conclude that both lifestyle and genetics may be important contributors to redox biomarkers in an aging population.
    • The associations of air pollution, traffic noise and green space with overweight throughout childhood: The PIAMA birth cohort study.

      Bloemsma, Lizan D; Wijga, Alet H; Klompmaker, Jochem O; Janssen, Nicole A H; Smit, Henriëtte A; Koppelman, Gerard H; Brunekreef, Bert; Lebret, Erik; Hoek, Gerard; Gehring, Ulrike (2019-02-01)
      Air pollution, traffic noise and absence of green space may contribute to the development of overweight in children. To investigate the combined associations of air pollution, traffic noise and green space with overweight throughout childhood. We used data for 3680 participants of the Dutch PIAMA birth cohort. We estimated exposure to air pollution, traffic noise and green space (i.e. the average Normalized Difference Vegetation Index (NDVI) and percentages of green space in circular buffers of 300 m and 3000 m) at the children's home addresses at the time of parental reported weight and height measurements. Associations of these exposures with overweight from age 3 to 17 years were analyzed by generalized linear mixed models, adjusting for potential confounders. Odds ratios (OR's) are presented for an interquartile range increase in exposure. odds of being overweight increased with increasing exposure to NO
    • Associations of combined exposures to surrounding green, air pollution and traffic noise on mental health.

      Klompmaker, Jochem O; Hoek, Gerard; Bloemsma, Lizan D; Wijga, Alet H; van den Brink, Carolien; Brunekreef, Bert; Lebret, Erik; Gehring, Ulrike; Janssen, Nicole A H (2019-08-01)
      In this cross-sectional study, we linked data from a Dutch national health survey among 387,195 adults including questions about psychological distress, based on the Kessler 10 scale, to an external database on registered prescriptions of anxiolytics, hypnotics & sedatives and antidepressants. We added data on residential surrounding green in a 300 m and a 1000 m buffer based on the Normalized Difference Vegetation Index (NDVI) and a land-use database (TOP10NL), modeled annual average air pollutant concentrations (including particulate matter (PM10, PM2.5), and nitrogen dioxide (NO2)) and modeled road- and rail-traffic noise (Lden and Lnight) to the survey. We used logistic regression to analyze associations of surrounding green, air pollution and traffic noise exposure with poor mental health.
    • Associations of Combined Exposures to Surrounding Green, Air Pollution, and Road Traffic Noise with Cardiometabolic Diseases.

      Klompmaker, Jochem O; Janssen, Nicole A H; Bloemsma, Lizan D; Gehring, Ulrike; Wijga, Alet H; van den Brink, Carolien; Lebret, Erik; Brunekreef, Bert; Hoek, Gerard (2019-08-01)
    • The associations of major foods and fibre with risks of ischaemic and haemorrhagic stroke: a prospective study of 418 329 participants in the EPIC cohort across nine European countries.

      Tong, Tammy Y N; Appleby, Paul N; Key, Timothy J; Dahm, Christina C; Overvad, Kim; Olsen, Anja; Tjønneland, Anne; Katzke, Verena; Kühn, Tilman; Boeing, Heiner; et al. (2020-02-24)
    • Associations of residential exposure to agricultural pesticides with asthma prevalence in adolescence: The PIAMA birth cohort.

      Bukalasa, Joseph S; Brunekreef, Bert; Brouwer, Maartje; Koppelman, Gerard H; Wijga, Alet H; Huss, Anke; Gehring, Ulrike (2018-12)
      It has been suggested that children who are exposed to agricultural pesticides have an increased risk of asthma, but evidence for associations betweeen residential pesticide exposure and childhood asthma is inconsistent.
    • Associations of self-reported physical activity and anxiety symptoms and status among 7,874 Irish adults across harmonised datasets: a DEDIPAC-study.

      Mc Dowell, Cillian P; Carlin, Angela; Capranica, Laura; Dillon, Christina; Harrington, Janas M; Lakerveld, Jeroen; Loyen, Anne; Ling, Fiona Chun Man; Brug, Johannes; MacDonncha, Ciaran; et al. (2020-03-20)
    • Asymptomatic infection and transmission of pertussis in households: a systematic review.

      Craig, Rodger; Kunkel, Elizabeth; Crowcroft, Natasha S; Fitzpatrick, Meagan C; de Melker, Hester; Althouse, Benjamin M; Merkel, Tod; Scarpino, Samuel V; Koelle, Katia; Friedman, Lindsay; et al. (2019-06-29)
    • Attitudes and perceptions of Dutch companion animal veterinarians towards antimicrobial use and antimicrobial resistance.

      Hopman, Nonke E M; Mughini-Gras, Lapo; Speksnijder, David C; Wagenaar, Jaap A; van Geijlswijk, Ingeborg M; Broens, Els M (2019-06-29)
    • Attributable deaths and disability-adjusted life-years caused by infections with antibiotic-resistant bacteria in the EU and the European Economic Area in 2015: a population-level modelling analysis.

      Cassini, Alessandro; Högberg, Liselotte Diaz; Plachouras, Diamantis; Quattrocchi, Annalisa; Hoxha, Ana; Simonsen, Gunnar Skov; Colomb-Cotinat, Mélanie; Kretzschmar, Mirjam E; Devleesschauwer, Brecht; Cecchini, Michele; et al. (2019-01-01)
      Infections due to antibiotic-resistant bacteria are threatening modern health care. However, estimating their incidence, complications, and attributable mortality is challenging. We aimed to estimate the burden of infections caused by antibiotic-resistant bacteria of public health concern in countries of the EU and European Economic Area (EEA) in 2015, measured in number of cases, attributable deaths, and disability-adjusted life-years (DALYs). We estimated the incidence of infections with 16 antibiotic resistance-bacterium combinations from European Antimicrobial Resistance Surveillance Network (EARS-Net) 2015 data that was country-corrected for population coverage. We multiplied the number of bloodstream infections (BSIs) by a conversion factor derived from the European Centre for Disease Prevention and Control point prevalence survey of health-care-associated infections in European acute care hospitals in 2011-12 to estimate the number of non-BSIs. We developed disease outcome models for five types of infection on the basis of systematic reviews of the literature. From EARS-Net data collected between Jan 1, 2015, and Dec 31, 2015, we estimated 671 689 (95% uncertainty interval [UI] 583 148-763 966) infections with antibiotic-resistant bacteria, of which 63·5% (426 277 of 671 689) were associated with health care. These infections accounted for an estimated 33 110 (28 480-38 430) attributable deaths and 874 541 (768 837-989 068) DALYs. The burden for the EU and EEA was highest in infants (aged <1 year) and people aged 65 years or older, had increased since 2007, and was highest in Italy and Greece. Our results present the health burden of five types of infection with antibiotic-resistant bacteria expressed, for the first time, in DALYs. The estimated burden of infections with antibiotic-resistant bacteria in the EU and EEA is substantial compared with that of other infectious diseases, and has increased since 2007. Our burden estimates provide useful information for public health decision-makers prioritising interventions for infectious diseases.
    • Attributable sources of community-acquired carriage of Escherichia coli containing β-lactam antibiotic resistance genes: a population-based modelling study.

      Mughini-Gras, Lapo; Dorado-García, Alejandro; van Duijkeren, Engeline; van den Bunt, Gerrita; Dierikx, Cindy M; Bonten, Marc J M; Bootsma, Martin C J; Schmitt, Heike; Hald, Tine; Evers, Eric G; et al. (2019-08-01)
      In this population-based modelling study, we collected ESBL and pAmpC gene data on the Netherlands population for 2005-17 from published datasets of gene occurrences in E coli isolates from different sources, and from partners of the ESBL Attribution Consortium and the Dutch National Antimicrobial Surveillance System. Using these data, we applied an established source attribution model based on ESBL-EC and pAmpC-EC prevalence and gene data for humans, including high-risk populations (ie, returning travellers, clinical patients, farmers), farm and companion animals, food, surface freshwater, and wild birds, and human exposure data, to quantify the overall and gene-specific attributable sources of community-acquired ESBL-EC and pAmpC-EC intestinal carriage. We also used a simple transmission model to determine the basic reproduction number (R0) in the open community.
    • Attribution of global foodborne disease to specific foods: Findings from a World Health Organization structured expert elicitation.

      Hoffmann, Sandra; Devleesschauwer, Brecht; Aspinall, Willy; Cooke, Roger; Corrigan, Tim; Havelaar, Arie; Angulo, Frederick; Gibb, Herman; Kirk, Martyn; Lake, Robin; et al. (2017)
      Recently the World Health Organization, Foodborne Disease Burden Epidemiology Reference Group (FERG) estimated that 31 foodborne diseases (FBDs) resulted in over 600 million illnesses and 420,000 deaths worldwide in 2010. Knowing the relative role importance of different foods as exposure routes for key hazards is critical to preventing illness. This study reports the findings of a structured expert elicitation providing globally comparable food source attribution estimates for 11 major FBDs in each of 14 world subregions.
    • Attribution of human infections with Shiga toxin-producing Escherichia coli (STEC) to livestock sources and identification of source-specific risk factors, The Netherlands (2010-2014).

      Mughini-Gras, L; van Pelt, W; van der Voort, M; Heck, M; Friesema, I; Franz, E (2017-09-17)
      Shiga toxin-producing Escherichia coli (STEC) is a zoonotic pathogen of public health concern whose sources and transmission routes are difficult to trace. Using a combined source attribution and case-control analysis, we determined the relative contributions of four putative livestock sources (cattle, small ruminants, pigs, poultry) to human STEC infections and their associated dietary, animal contact, temporal and socio-econo-demographic risk factors in the Netherlands in 2010/2011-2014. Dutch source data were supplemented with those from other European countries with similar STEC epidemiology. Human STEC infections were attributed to sources using both the modified Dutch model (mDM) and the modified Hald model (mHM) supplied with the same O-serotyping data. Cattle accounted for 48.6% (mDM) and 53.1% (mHM) of the 1,183 human cases attributed, followed by small ruminants (mDM: 23.5%; mHM: 25.4%), pigs (mDM: 12.5%; mHM: 5.7%) and poultry (mDM: 2.7%; mHM: 3.1%), whereas the sources of the remaining 12.8% of cases could not be attributed. Of the top five O-serotypes infecting humans, O157, O26, O91 and O103 were mainly attributed to cattle (61%-75%) and O146 to small ruminants (71%-77%). Significant risk factors for human STEC infection as a whole were the consumption of beef, raw/undercooked meat or cured meat/cold cuts. For cattle-attributed STEC infections, specific risk factors were consuming raw meat spreads and beef. Consuming raw/undercooked or minced meat were risk factors for STEC infections attributed to small ruminants. For STEC infections attributed to pigs, only consuming raw/undercooked meat was significant. Consuming minced meat, raw/undercooked meat or cured meat/cold cuts were associated with poultry-attributed STEC infections. Consuming raw vegetables was protective for all STEC infections. We concluded that domestic ruminants account for approximately three-quarters of reported human STEC infections, whereas pigs and poultry play a minor role and that risk factors for human STEC infection vary according to the attributed source.
    • Attribution of Listeria monocytogenes human infections to food and animal sources in Northern Italy.

      Filipello, Virginia; Mughini-Gras, Lapo; Gallina, Silvia; Vitale, Nicoletta; Mannelli, Alessandro; Pontello, Mirella; Decastelli, Lucia; Allard, Marc W; Brown, Eric W; Lomonaco, Sara (2020-08-01)
    • Author Correction: Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors.

      Bakker, Mark K; van der Spek, Rick A A; van Rheenen, Wouter; Morel, Sandrine; Bourcier, Romain; Hostettler, Isabel C; Alg, Varinder S; van Eijk, Kristel R; Koido, Masaru; Akiyama, Masato; et al. (2020-12-22)
    • Author Correction: Impact of delivery mode-associated gut microbiota dynamics on health in the first year of life.

      Reyman, Marta; van Houten, Marlies A; van Baarle, Debbie; Bosch, Astrid A T M; Man, Wing Ho; Chu, Mei Ling J N; Arp, Kayleigh; Watson, Rebecca L; Sanders, Elisabeth A M; Fuentes, Susana; et al. (2019-11-25)
    • Author Correction: Rapid SARS-CoV-2 whole-genome sequencing and analysis for informed public health decision-making in the Netherlands.

      Oude Munnink, Bas B; Nieuwenhuijse, David F; Stein, Mart; O'Toole, Áine; Haverkate, Manon; Mollers, Madelief; Kamga, Sandra K; Schapendonk, Claudia; Pronk, Mark; Lexmond, Pascal; et al. (2020-10-20)
    • Author Correction: The potential of future foods for sustainable and healthy diets (Nature Sustainability, (2018), 1, 12, (782-789),

      Parodi, A; Leip, A; de Boer, IJM; Slegers, PM; Ziegler, F; Temme, EHM; Herrero, M; Tuomisto, H (2019-04-08)
    • The authors reply to "Modeled and perceived exposure to radiofrequency electromagnetic fields from mobile-phone base stations and the development of symptoms over time in a general population cohort"

      Martens, Astrid L; Slottje, Pauline; Timmermans, Danielle R M; Kromhout, Hans; Reedijk, Marije; Smid, Tjabe; Vermeulen, Roel C H (2017-11-15)